- recipe bioconductor-netdx
Network-based patient classifier
- Homepage:
- License:
MIT + file LICENSE
- Recipe:
netDx is a general-purpose algorithm to build a patient classifier from heterogenous patient data. The method converts data into patient similarity networks at the level of features. Feature selection identifies features of predictive value to each class. Methods are provided for versatile predictor design and performance evaluation using standard measures. netDx natively groups molecular data into pathway-level features and connects with Cytoscape for network visualization of pathway themes. For method details see: Pai et al. (2019). netDx: interpretable patient classification using integrated patient similarity networks. Molecular Systems Biology. 15, e8497
- package bioconductor-netdx¶
-
- Versions:
1.9.0-0
,1.6.0-0
,1.4.0-0
,1.2.2-0
,1.2.0-0
,1.0.0-0
- Depends:
bioconductor-biocfilecache
>=2.6.0,<2.7.0
bioconductor-genomeinfodb
>=1.34.0,<1.35.0
bioconductor-genomicranges
>=1.50.0,<1.51.0
bioconductor-iranges
>=2.32.0,<2.33.0
bioconductor-multiassayexperiment
>=1.24.0,<1.25.0
bioconductor-s4vectors
>=0.36.0,<0.37.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-netdx
and update with:
conda update bioconductor-netdx
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-netdx:<tag>
(see bioconductor-netdx/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-netdx/README.html)